stratify {tidyvpc} | R Documentation |
Stratification for Visual Predictive Check (VPC)
Description
Use to specify stratification variables for VPC.
Usage
stratify(o, ...)
## S3 method for class 'tidyvpcobj'
stratify(o, formula, data = o$data, ...)
Arguments
o |
A |
... |
Other arguments to include. |
formula |
Formula for stratification. |
data |
Observed data supplied in |
Value
Returns updated tidyvpcobj
with stratification formula, stratification column(s), and strat.split datasets, which
is obs
split by unique levels of stratification variable(s). Resulting datasets are of class object data.frame
and data.table
.
See Also
observed
simulated
censoring
predcorrect
binning
binless
vpcstats
Examples
require(magrittr)
vpc <- observed(obs_data, x=TIME, y=DV) %>%
simulated(sim_data, y=DV) %>%
stratify(~ GENDER) %>%
binning(NTIME) %>%
vpcstats()
# Example with 2-way stratification by GENDER and STUDY.
vpc <- vpc %>%
stratify(~ GENDER + STUDY) %>%
binning(bin = "centers", centers = c(1,3,5,7,10)) %>%
vpcstats()
[Package tidyvpc version 1.5.1 Index]